Hi,Before Hadoop, every Big Data vendor that matters (both in the relational database space and in the Hadoop space) has advocated for a two system approach to processing Big Data — Hadoop for the unstructured data and relational databases for the structured data, with a connector between them, shipping data back and forth over a network connection.

The Connectors between databases and Hadoop are entirely the wrong way to think about scalable data processing of enterprise data. Even the upgraded connectors that have been announced in recent months by database and Hadoop vendors (e.g. making a connector “transactional”, or leveraging projects like HCatalog to make the connector more intelligent at the end points) are counterproductive and only serve to propagate a data processing design that is a fundamentally poor long term strategy for an organization. A super-charged connector is still a connector, and that’s the wrong architectural choice moving forward.